Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnlyHint=true, destructiveHint=false and openWorldHint=false, so safety is covered. The description adds meaningful domain behavior beyond that: weighted variant allocation, stable-hash assignment, SegmentGate audience gating, ScheduleSpec scheduling, and inline Params overrides. Return-format specifics are still absent, but the semantic content is rich.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The scoping constraint ('GET ONLY the Experiment field') is front-loaded, followed by a compact description of the field's contents. Dense but each clause carries domain information; only minor trimming would help.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a single-parameter read with no output schema, the description compensates by explaining what the Experiment payload contains (variants, gates, schedule, overrides). Combined with annotations covering the safety profile, an agent has enough to invoke it correctly.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100% with a single documented title_id parameter, so the schema carries the parameter semantics. The description adds nothing about the parameter's format or constraints, making the baseline 3 appropriate.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb and resource: 'GET ONLY the Experiment field of TitlePublicConfigurationModel', which precisely scopes the read and implicitly distinguishes it from a whole-model fetch. It does not name the sibling (e.g., get_title_data) that returns the full model, so differentiation is inferred rather than explicit.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

It gives a use-case ('Used to test config changes against measurable cohorts') which implies when the data matters, but offers no explicit when-to-use routing versus get_title_data or save_experiment, and no exclusions or prerequisites.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.